Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks by Russell D. Reed and Robert J. Marks II (1999, Hardcover)

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About this product

Product Identifiers

PublisherMIT Press
ISBN-100262181908
ISBN-139780262181907
eBay Product ID (ePID)757749

Product Key Features

Number of Pages360 Pages
LanguageEnglish
Publication NameNeural Smithing : Supervised Learning in Feedforward Artificial Neural Networks
Publication Year1999
SubjectComputer Science, Neural Networks
TypeTextbook
Subject AreaComputers
AuthorRussell D. Reed, Robert J. Marks II
FormatHardcover

Dimensions

Item Height1.1 in
Item Weight29.1 Oz
Item Length9 in
Item Width7.2 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN98-013416
Dewey Edition21
Grade FromCollege Graduate Student
IllustratedYes
Dewey Decimal006.3/2
SynopsisArtificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
LC Classification NumberQA76.87.R44 1998
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